IR Sensor
Object Detection
Dataset
2024
Dataset Overview
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A dataset for autonomous driving environments, captured using Hanwha Systems' QuantumRed thermal imaging camera across various conditions, times, and locations.
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Classes
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Person(0), Car(1), Truck(2), Bus(3), Bicycle(4) Bike(5), Extra_vehicle(6), Dog(7)
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Subset | Quantity | Image Availablity | Label Availablity | Publication |
|---|---|---|---|---|
Train | 7,018 | O | O | O |
Validation | 600 | O | O | O |
Test open | 1,636 | O | X | O |
Test private | 1,629 | X | X | X |
Annotation Format
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Annotations are structured in the MSCOCO data format, with each dataset comprising a single JSON file.
{
"images":[
{
"file_name" : Image name(str),
"height" : Image height(int),
"width" : Image width(int),
"id" : Unique image ID(int)
}, ...
],
"annotations":[
{
"id" : Unique object ID(int),
"image_id": ID of the image containing the object(int),
"bbox" : [
X-coordinate of the top-left points of the object's bounding box(int),
Y-coordinate of the top-left points of the object's bounding box(int),
Width of the object's bounding box(int),
Height of the object's bounding box(int)
],
"area" : Area of the object's bounding box in pixels(int),
"category_id" : Object class number(int),
"segmentation" : [] // Not currently used,
"iscrowded" : 0 //not currently used
}, ...
],
"categories":[
{
"supercategory" : Object class supercategory (str),
"id" : Unique ID of the object class(int),
"name" : Name of the object class(str)
}, ...
]
}
License
All datasets and benchmarks on this page are copyright by us and published under the Creative Commons Attribution NonCommercial ShareAlike 3.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.